Assist. Prof. Dr. Abdulkader Daghistani | Distribution Theory | Best Researcher Award
Assistant Professor at King Abdulaziz University, Saudi Arabia
Dr. Abdulkader Monier A. Daghistani is an accomplished academic in the field of statistics, known for his deep commitment to education, research, and institutional development. Over two decades of service at a premier Saudi Arabian university have allowed him to play influential roles in teaching, committee leadership, and academic governance. His expertise in distributional theory, coupled with a passion for student success and educational quality, underscores a distinguished career marked by both intellectual rigor and community impact.
Profile
Education
Dr. Daghistani’s academic journey began with a science-focused high school education, followed by a B.S. in Statistics and Computer Science from King Abdulaziz University. He pursued advanced studies in the United States, earning an M.S. in Statistics at Western Michigan University, where he gained substantial theoretical and applied statistical knowledge. His academic endeavors culminated in a Ph.D. in Statistics with a focus on Distributional Theory, awarded by King Abdulaziz University, reinforcing his specialization in probabilistic modeling and statistical inference.
Professional Experience
Since 2005, Dr. Daghistani has served his home institution through progressive academic ranks, from teaching assistant to lecturer, and currently as an assistant professor. His administrative service is equally robust, including key positions such as Chairman of Automation and Governance of Information, Coordinator of General Statistics, and Secretary of the Department Council. He has chaired and participated in numerous academic committees covering quality assurance, graduate studies, examinations, and academic advising, playing a central role in curriculum delivery, policy design, and institutional assessment.
Research Interests
His research interests center around distributional theory, order statistics, and the development of new probabilistic models suited for real-world applications. Dr. Daghistani’s scholarly pursuits aim to improve the flexibility and accuracy of data modeling, particularly in analyzing reliability and lifetime data. He is particularly noted for his work on generalized order statistics and the introduction of novel distribution families, which contribute to methodological advancements in both theoretical and applied statistics.
Awards and Recognitions
Dr. Daghistani has received several academic accolades, including multiple Certificates of Excellence for high academic performance during his undergraduate and graduate years. He also completed the Professional University Teacher Program and participated in the “Motamd 2” training for academic quality assurance, highlighting his commitment to continuous learning and pedagogical enhancement. These distinctions reflect a consistent dedication to academic excellence and professional development.
Key Publications
Dr. Daghistani has authored impactful research published in peer-reviewed journals, including:
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Title: Type I Half Logistic Burr X‐G Family: Properties, Bayesian, and Non‐Bayesian Estimation under Censored Samples and Applications to COVID‐19 Data
Publication: Mathematical Problems in Engineering
Year: 2021
Citations: 59 -
Title: Inferences for joint hybrid progressive censored exponential lifetimes under competing risk model
Publication: Mathematical Problems in Engineering
Year: 2021
Citations: 13 -
Title: Relations for moments of dual generalized order statistics for a new inverse Kumaraswamy distribution
Publication: Pakistan Journal of Statistics and Operation Research
Year: 2019
Citations: 6 -
Title: A New Inverse Kumaraswamy Family of Distributions: Properties and Application
Publication: Pakistan Journal of Statistics and Operation Research
Year: 2023
Citations: 3 -
Title: A Note on Closure Properties of Classes of Discrete Lifetime Distributions
Publication: International Journal of Statistics and Probability
Year: 2013
Citations: 3 -
Title: On a New Family of Distributions for Modeling Financial Data
Publication: KING ABDULAZIZ UNIVERSITY
Year: 2023
Citations: 0
These works have been referenced in subsequent statistical literature, reflecting their contribution to modern distributional methodology. His profiles on platforms such as Scopus, Google Scholar, and ResearchGate provide access to his broader research footprint.
Conclusion
Dr. Abdulkader Daghistani exemplifies the qualities of an academic leader who bridges research innovation with educational service. His scholarly output, combined with extensive teaching and committee experience, has made a lasting impact on academic quality and statistical education at his institution. Through his ongoing dedication, he continues to inspire students, contribute to statistical science, and drive institutional excellence—making him an outstanding candidate for recognition in academic and professional circles.